@conference {icassp-valcarcel2016, title = {Learning in constrained stochastic dynamic potential games}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year = {2016}, month = {March}, pages = {4568-4572}, keywords = {Approximate dynamic programming, constrained state-action subsets, constrained stochastic dynamic potential games, continuous potential games, game MNE, Game Theory, Games, Indexes, Integrated circuits, learning (artificial intelligence), Markov Nash equilibrium, Markov processes, multi-agent, network flow, network flow optimization model, optimisation, Random variables, reinforcement learning, reinforcement learning approach, relay networks (telecommunication), Relays, reward model, single-control problem, state transition model, stochastic games, stochastic rewards, stochastic time varying environment, telecommunication computing, telecommunication power supplies, vector space}, doi = {10.1109/ICASSP.2016.7472542}, author = {Valcarcel Macua, Sergio and Zazo, Santiago and Zazo, Javier} }